Comprehensive side-by-side LLM comparison
Gemma 3 4B leads with 31.5% higher average benchmark score. Gemma 3 4B offers 68.6K more tokens in context window than o1-mini. Gemma 3 4B is $14.94 cheaper per million tokens. Gemma 3 4B supports multimodal inputs. Overall, Gemma 3 4B is the stronger choice for coding tasks.
Gemma 3 4B is a multimodal language model developed by Google. The model shows competitive results across 26 benchmarks. It excels particularly in IFEval (90.2%), GSM8k (89.2%), DocVQA (75.8%). It supports a 262K token context window for handling large documents. The model is available through 1 API provider. As a multimodal model, it can process and understand text, images, and other input formats seamlessly. It's licensed for commercial use, making it suitable for enterprise applications. Released in 2025, it represents Google's latest advancement in AI technology.
OpenAI
o1-mini is a language model developed by OpenAI. It achieves strong performance with an average score of 71.9% across 6 benchmarks. It excels particularly in HumanEval (92.4%), MATH-500 (90.0%), MMLU (85.2%). It supports a 194K token context window for handling large documents. The model is available through 2 API providers. Released in 2024, it represents OpenAI's latest advancement in AI technology.
6 months newer
o1-mini
OpenAI
2024-09-12
Gemma 3 4B
2025-03-12
Cost per million tokens (USD)
Gemma 3 4B
o1-mini
Context window and performance specifications
Average performance across 30 common benchmarks
Gemma 3 4B
o1-mini
Gemma 3 4B
2024-08-01
Available providers and their performance metrics
Gemma 3 4B
DeepInfra
o1-mini
Gemma 3 4B
o1-mini
Gemma 3 4B
o1-mini
Azure
OpenAI